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Open AccessArticle

Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis

by Yanyan Wang 1,2,*, , Junfeng Chu 1,3 and Yicong Liu 1
1
School of Economics and Management, Fuzhou University, Fuzhou 350108, China
2
Yanzhou Coal Mining Company Limited, Zoucheng City 273500, China
3
Decision Sciences Institute, Fuzhou University, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(2), 255; https://doi.org/10.3390/sym12020255
Received: 9 January 2020 / Revised: 4 February 2020 / Accepted: 5 February 2020 / Published: 7 February 2020
With the development of social media, the social relationships among group decision makers should be taken into consideration when addressing group decision making problems. As an extension of the fuzzy set, the Pythagorean fuzzy set has recently been applied to depict the uncertainty in practical group decision problems. The purpose of this paper is to propose a multi-criteria Pythagorean fuzzy group decision approach considering social relations. In this paper, the similarity degree and the paths between any two experts in a social network are combined to construct a connection strength matrix to detect the leader among all the experts. A leader-following consensus reaching algorithm is proposed to adjust the multi-criteria Pythagorean fuzzy decision making matrix. Moreover, a procedure for the multi-criteria Pythagorean fuzzy group decision approach based on social network analysis is proposed. We use an example to illustrate the feasibility and advantages of the proposed method.
Keywords: Pythagorean fuzzy; social network analysis; consensus; multi-criteria group decision making Pythagorean fuzzy; social network analysis; consensus; multi-criteria group decision making
MDPI and ACS Style

Wang, Y.; Chu, J.; Liu, Y. Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis. Symmetry 2020, 12, 255.

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